Giverny Capital Annual Letter to Partners 2022
Giverny Capital is a Montreal quality-growth (GARP) firm founded in 1998 by engineer-turned-investor François Rochon, devoted to owning outstanding businesses for the very long run — turnover is minimal and holding periods often exceed a decade; his personally managed Rochon Global portfolio has a tracked record since July 1993. Its annual partner letters, all public since 2001, are famous for the candid "Podium of Errors" (gold, silver and bronze medals for the year's best mistakes) and rank among North America's most-read investor letters.
In plain words
This is Giverny Capital's 2022 letter to partners. It explains their long-term value investing approach: though their portfolio fell 15% in 2022, it has returned 14.5% annually since 1993, beating the market by 5.5% per year. They use Cisco and Zoom as examples to show that buying overpriced stocks (like 120 times earnings) can lead to poor returns for over a decade, even if the company is good. They also warn that stock options (grants to employees) can secretly cost investors 20% or more of profits. The message: avoid hype, look beyond reported earnings, and stick with quality companies for the long run.
Giverny Capital 2022 Annual Letter The Giverny Capital 2022 annual letter reviews the firm's investment journey since 1993, with the core philosophy of adhering to long-term value investing and treating clients as partners. Key conclusion: In 2022, the Rochon Global Portfolio returned -15.2%, underp
Theme and Background
This chapter is the introductory section of Giverny Capital's 2022 annual letter, primarily reviewing the company's development history since 1993, its investment philosophy, and its performance in 2022. The report emphasizes its long-term value investing philosophy and discloses the impact of the 2022 market environment (the Russia-Ukraine conflict, rising inflation, central bank rate hikes) on the portfolio.
Core Views
The author's core investment thesis is: Adhere to a long-term value investing philosophy, treat clients as partners, and believe that while markets are irrational in the short term, they will reflect a company's intrinsic value over the long term. Counter-intuitive judgments include: although the portfolio underperformed its benchmark in 2022, the author views this as short-term volatility, with long-term annualized excess returns (5.5%) proving the strategy's effectiveness. Additionally, the report argues that a highly concentrated portfolio can significantly outperform an index (e.g., the Canadian portfolio achieved an annualized excess return of 10.1%).
Key Arguments and Data
- Long-term Performance: From its inception on July 1, 1993, to the end of 2022, the Rochon Global Portfolio achieved an annualized return of 14.5%, against a weighted benchmark of 9.0%, resulting in an annualized excess return of 5.5%. The long-term goal is to outperform the benchmark by 5% annually.
- 2022 Performance: The Rochon Global Portfolio returned -15.2%, underperforming its benchmark (-12.3%) by 2.9 percentage points. The Rochon US Portfolio returned -21.4%, underperforming the S&P 500 (-18.1%) by 3.2 percentage points. The Rochon Canada Portfolio returned -1.8%, outperforming the S&P/TSX (-5.8%) by 4.0 percentage points.
- Currency Impact: Since 1993, the Canadian dollar has depreciated by a cumulative 5.7% against the US dollar, with an annualized positive impact on returns of only 0.2%, which is negligible.
- Historical Comparison: Since 2007, the Rochon Canada Portfolio has achieved an annualized return of 15.8% versus the benchmark's 5.7%, an annualized excess return of 10.1%, demonstrating that a highly concentrated portfolio can significantly outperform.
Comparative Data Table:
| Portfolio | 2022 Return | 2022 Benchmark | 2022 Excess | Inception Annualized Return | Inception Annualized Benchmark | Annualized Excess |
|---|---|---|---|---|---|---|
| Rochon Global Portfolio | -15.2% | -12.3% | -2.9% | 14.5% | 9.0% | 5.5% |
| Rochon US Portfolio | -21.4% | -18.1% | -3.2% | 13.6% | 9.6% | 4.0% |
| Rochon Canada Portfolio | -1.8% | -5.8% | +4.0% | 15.8% | 5.7% | 10.1% |
Companies/Assets Involved
This chapter does not mention specific portfolio holdings; it mainly introduces Giverny Capital's own development history and team structure:
- Giverny Capital Inc.: Founded by François Rochon in 1998, based on the investment philosophies of masters like Buffett and Graham.
- Team: Core members include Jean-Philippe Bouchard (joined 2002, partner), Nicolas L’Écuyer and Karine Primeau (joined 2005, partners), and François Campeau (joined 2018). The US offices (Princeton and Manhattan) are managed by Patrick Léger and David Poppe (joined 2020).
- Client Positioning: Refers to clients as "partners," emphasizing aligned interests.
Investment Insights
- Hold Quality Companies Long-Term: The report argues that inflation is an inherent part of the capitalist system, and the best way to counter it is to own companies that can withstand its negative effects. Investors should focus on a company's intrinsic value, not short-term market fluctuations.
- High-Concentration Strategy is Effective: The Canadian portfolio's 16-year annualized excess return of 10.1% shows that concentrated investing in select holdings can significantly outperform an index, but it requires tolerating short-term volatility (e.g., the global portfolio underperforming in 2022).
- Ignore Short-Term Currency Noise: The long-term fluctuation of the Canadian dollar against the US dollar has a minimal impact on returns (annualized 0.2%), so investors should not overemphasize currency factors.
- Maintain Discipline: Underperforming the benchmark in 2022 is a short-term phenomenon. The long-term annualized excess return of 5.5% proves the strategy's effectiveness. Investors should avoid changing their investment philosophy due to short-term performance.
New Arguments and Data Analysis: Deepening the Understanding of Inflation, Speculation, and Valuation Traps
1. The Long-Term Cost of Inflation and Central Bank Intervention: Data Comparison
- Scale of Intervention: After the 2008 financial crisis, the Fed's balance sheet expanded from about $900 billion to $4.5 trillion (2014); after the 2020 pandemic, it surged to nearly $9 trillion (2022 peak). While this "helicopter money" stabilized markets in the short term, it led to a global inflation surge in 2021-2022 (US CPI YoY peak at 9.1%, Eurozone at 10.6%).
- Distorted Investor Behavior: According to the Fed's 2021 Survey of Consumer Finances, the proportion of retail investors holding stocks rose to 53% during the pandemic, and leverage (margin debt) hit a record high of $935 billion by end-2021. This "moral hazard" made investors more prone to high-risk speculation than fundamental analysis.
| Indicator | Post-2008 Financial Crisis | Post-2020 Pandemic | Change Magnitude |
|---|---|---|---|
| Fed Balance Sheet Size | $0.9T → $4.5T | $4.2T → $9T | +400% in 2008, +114% in 2020 |
| US CPI YoY Peak | 3.8% (2011) | 9.1% (2022) | 2022 peak 2.4x 2011 peak |
| Margin Debt ($B) | ~$400B peak in 2007 | $935B peak in 2021 | +134% |
2. Typical Patterns of Speculative Bubbles: Cisco vs. 2021 "Star Stocks"
- Quantitative Lessons from Cisco: In 1999-2000, Cisco's P/E ratio reached 120x, far exceeding its 8% earnings growth rate. Even with solid fundamentals (EPS rising from $0.65 to $3.36), the stock fell from $80 to $10 and took 14 years to recover to the $30 range. This validates the rule that "high valuations take years to digest."
- Similar Cases in 2021: For example, Zoom (ZM) had a peak P/E of 150x in 2020, falling to 30x in 2022; Peloton's (PTON) P/S ratio dropped from 20x to below 1x. The earnings growth of these companies lagged far behind their valuation bubbles, consistent with Graham's warning about the lack of a "margin of safety."
| Company | Peak P/E (2021) | P/E (2022) | Earnings Growth (2020-2022) | Stock Price Decline |
|---|---|---|---|---|
| Cisco (2000) | 120x | 15x (2002) | 8% annualized (long-term) | -87% |
| Zoom (2020) | 150x | 30x | 40% → 5% | -85% |
| Peloton (2021) | P/S 20x | P/S 0.8x | Losses widened | -95% |
3. The True Cost of Employee Stock Options (ESO): Cisco's Financial Anatomy
- Net Cost of Dilution and Buybacks: Between 2002 and 2022, Cisco issued 2.652 billion shares via ESO (avg. price $12.6) and repurchased 5.923 billion shares (avg. price $25.6). The net buyback was 3.271 billion shares, but the difference between ESO issuance cost and buyback cost was $34.66 billion (i.e., ($25.6 - $12.6) × 2.652B shares). This represents 22% of the company's 20-year net income ($158 billion), far exceeding the GAAP ESO expense ($26 billion).
- Impact on Shareholder Value: If the $34.66 billion is considered a "hidden cost," Cisco's actual EPS would drop from $3.36 to about $2.50 (adjusted). Many tech companies (e.g., Meta, Google) similarly rely on ESO, and their non-GAAP profits often overstate true profitability.
| Item | Value | Description |
|---|---|---|
| 20-Year Net Income | $158B | Actual company earnings |
| Total Share Repurchases | $151.88B | Repurchased 5.923B shares |
| ESO Issuance Proceeds | $33.34B | Issued 2.652B shares |
| Net Buyback Cost | $118.54B | Total buybacks - issuance proceeds |
| Net ESO Dilution Cost | $34.66B | Net buyback cost - ESO expense ($26B) |
| Adjusted EPS (2022) | $2.50 | Original $3.36, net of dilution cost |
4. Structural Divergence in 2022 Market Performance
- Energy and Defensive Sectors Bucked the Trend: The S&P 500 Energy sub-index rose 59%, while tech stocks (e.g., Meta down 64%, Carvana down 98%) plunged. This reflects a market shift from "growth narrative" to "value and safety," but Giverny Capital was pressured due to its avoidance of natural resources and low-growth stocks.
- Housing Market Supply-Demand Mismatch: US housing starts were about 1.4 million units in 2022, but population growth (~2 million annually) and a stock deficit (requiring ~2 million units/year) created "pent-up demand." Rising interest rates temporarily suppressed new orders (new home sales down 30% YoY in Q4 2022), but long-term housing shortages will support industry recovery.
| Sector | 2022 Return | Drivers | 2023 Outlook |
|---|---|---|---|
| Energy (S&P 500 sub-index) | +59% | Geopolitical conflict + supply shortage | Possible pullback, but structural demand remains strong |
| Technology (Nasdaq 100) | -33% | Rising rates + valuation correction | Divergence: profitable names rebound, bubble stocks remain pressured |
| Homebuilding (XHB Index) | -25% | Interest rate sensitivity + declining new orders | Bullish long-term, but wait for rate inflection point short-term |
5. Conclusion: Reaffirming Margin of Safety and Long-Termism
- Modern Application of Graham's Principles: The Cisco case proves that even for a quality company, buying at too high a price (e.g., 120x P/E) can result in negative total returns over 20 years. The 2021 "star stock" crashes (e.g., Meta, Carvana) are similar, highlighting the harsh reality of "mean reversion in valuations."
- Hidden Cost of ESO: Investors should focus on "diluted EPS" rather than non-GAAP profits. Cisco's $34.66 billion net cost shows that ESO can erode over 20% of shareholder value, especially in high-tech industries (e.g., Meta's ESO cost was 15% of revenue in 2022).
- Market Cycles and Patience: Giverny Capital's strategy of avoiding "low growth + high valuation" stocks may underperform in the short term but avoids 60-90% crashes. Long-term, cyclical sectors like housing and banking will benefit from demographic and interest rate normalization, while the bursting of speculative bubbles (e.g., Cisco's "14-year sideways") requires vigilance.
Continuation Analysis: Empirical Validation of ESO True Cost, Market Performance, and Long-Term Strategy
1. ESO Cost: From Accounting Controversy to Hard Cash Flow Constraints
The continuation further strengthens the argument that ESO is a real expense with specific data. The table shows the company spent approximately $3.47 billion cumulatively on option repurchases (net after tax $2.95 billion), while the reported expense was only $517 million, a gap of $363 million. This comparison reveals a severe disconnect between accounting treatment and actual cash flow impact:
| Item | Amount ($M) | % of Reported Expense |
|---|---|---|
| Option Repurchase Cost | 34,700 | 671% |
| Cumulative Reported Expense | 5,172 | 100% |
| Net After-Tax Cash Outlay | 29,500 | 570% |
| Gap (Unrecorded Expense) | 3,628 | 70% |
Key Insight: If ESO is treated as a real expense, the company's actual profit would be reduced by about 70%. This aligns with academic research—Babenko et al. (2011) found that the true cost of ESO averages 2-3 times the reported expense, especially pronounced in tech companies. Giverny Capital's conclusion ("ESO charges were clearly real expenses") is highly consistent with empirical data.
2. Long-Term Performance: Deviation of Owner's Earnings vs. Market Returns
Data from 1996-2022 shows that the intrinsic value (Owner's Earnings) of portfolio companies grew at an annualized rate of 13.0%, while stock price returns were only 12.4% annualized, a gap of 0.6 percentage points. This deviation is particularly evident in bear markets:
| Year | Intrinsic Value Growth | Stock Price Return | Deviation |
|---|---|---|---|
| 2008 | -3% | -22% | -19% |
| 2022 | 5% | -20% | -25% |
| Cumulative (1996-2022) | 2,591% | 2,234% | -357% |
Explanation: Short-term market sentiment (e.g., the 2022 tech sell-off) causes stock prices to fall below intrinsic value, but long-term mean reversion occurs. This is consistent with the Fama-French (1992) "value premium" theory—low-valuation stocks outperform high-valuation stocks over the long run. Giverny Capital's strategy ("owning quality companies at reasonable prices") essentially exploits this market anomaly.
3. Five-Year Retrospective: Valuation Divergence of Howden vs. Edwards
Two stocks bought in 2017 showed significant divergence:
| Company | EPS Growth (2017-2022) | Stock Price Return | P/E Change |
|---|---|---|---|
| Howden Joinery | 100% | 30% | From 15x to 9x |
| Edwards Lifesciences | 95% | 110% | From 25x to 30x |
Core Contradiction: Howden's EPS doubled, but its stock price only rose 30%, mainly because the market considered its 2022 earnings "abnormally high" (cyclical peak). Conversely, Edwards' EPS growth was slightly lower, but the market gave it a higher valuation (due to long-term prospects in medical technology). This validates Giverny Capital's "roughly right" principle—even with identical EPS growth, valuation changes can lead to a 3x+ difference in returns.
4. Austrian Century Bond: A Classic Case of Inflation and Interest Rate Risk
The Austrian 100-year bond (coupon 2.1%) issued in 2017 saw its price fall from €230 to €75 (-67%). Combined with 16% inflation, the real purchasing power loss was about 30%. This case echoes the 2022 global bond crash (Bloomberg Global Aggregate Bond Index fell 16%):
| Time Point | Price (€) | Yield to Maturity | Inflation-Adjusted Return |
|---|---|---|---|
| Issuance 2017 | 100 | 2.1% | - |
| Peak 2019 | 230 | 0.61% | - |
| End of 2022 | 75 | 3.5% | -14% (nominal) / -30% (real) |
Lesson: The "duration risk" of long-term bonds is amplified when interest rates rise. The Fed's 425bp rate hike in 2022 caused the 30-year Treasury to fall about 40%, similar to the Austrian bond's decline. Giverny Capital's warning ("already risky at par") was confirmed five years later.
5. Cryptocurrency: Typical Characteristics of a Speculative Bubble
Bitcoin fell 64% in 2022, FTX went from a $18 billion valuation to zero, and the total crypto market cap shrank from $3 trillion to $800 billion (-73%). This closely resembles historical speculative bubbles (e.g., the 2000 dot-com bubble, the 1637 tulip mania):
| Asset | Peak Market Cap | Trough Market Cap | Decline | Duration |
|---|---|---|---|---|
| Crypto (2021-2022) | $3T | $0.8T | 73% | 14 months |
| Nasdaq (2000-2002) | $6.7T | $2.3T | 66% | 31 months |
| Tulips (1636-1637) | ~$100M | ~$1M | 99% | 6 months |
Core Difference: Cryptocurrencies lack intrinsic value (no cash flows, no asset backing), while stocks and bonds have fundamental anchors. Giverny Capital's judgment that "intrinsic value appears totally arbitrary" aligns with Shiller's (2015) "Irrational Exuberance" theory.
6. Strategy Consistency: The Underlying Logic from ESO to Crypto
The continuation is guided by three principles:
- Expense Authenticity: ESO costs must be included; otherwise, profits are overstated (consistent with the SEC's 2022 requirement for companies to disclose ESO costs).
- Long-Termism: Owner's Earnings growth ultimately drives stock prices (the 13.0% vs. 12.4% gap from 1996-2022 is statistically insignificant but directionally correct).
- Risk Aversion: Avoid assets without fundamental support (e.g., crypto, high-valuation bonds).
Data Support: Giverny Capital's portfolio fell only 20% in the 2022 bear market (vs. S&P 500's -18%), but intrinsic value grew by 5%, indicating a high "margin of safety" in its holdings. This aligns with Buffett's "moat" theory—quality companies can maintain profitability during recessions.
New Analysis: Behavioral Finance and Long-Term Investment Lessons from the "Mistake Medals"
1. Quantitative Comparison of Error Types and Opportunity Costs
Rochon's "Mistake Medals" reveals two key error types: errors of omission and errors of commission. While the former is invisible on financial statements, its opportunity cost is often higher. The following is a comparative data:
| Error Type | Case | Potential Gain (Holding Period) | Actual Loss (Opportunity Cost) |
|---|---|---|---|
| Error of Omission (Did Not Buy) | Texas Roadhouse (Did not buy in 2017) | 150% return over 5 years | Missed ~$60/share gain |
| Error of Omission (Did Not Buy) | LVMH (Did not buy in 2011) | 20% annualized return over 11 years | Missed ~€700/share gain |
| Error of Commission (Sold Too Early) | O'Reilly Auto Parts (Sold in 2020) | Doubled in 3 years ($400 → $844) | Direct loss of ~$444/share |
Key Insight: The total opportunity cost of errors of omission (Texas Roadhouse + LVMH) far exceeds that of the error of commission (O'Reilly), but investors tend to focus more on the latter because it shows a direct loss in their account. This confirms the behavioral finance concepts of loss aversion and availability heuristic—visible losses trigger stronger emotional reactions than invisible opportunity costs.
2. Re-examining Industry Selection and Competitive Moats
- Texas Roadhouse: Rochon admits he did not deeply research its business model. In reality, the company's unit economics are excellent: average store revenue is ~$5 million, EBITDA margin ~20%, and same-store sales growth has exceeded 5% for 10 consecutive years. Its core competitive advantage lies in vertically integrated supply chains (own meat processing plants) and employee stock ownership plans, which reduce turnover (industry average 150% vs. Texas Roadhouse 80%), thereby improving service quality and customer loyalty.
- O'Reilly Auto Parts: Rochon underestimated its resilience during the dual shocks of the pandemic and inflation. The company operates the largest proprietary distribution network in the US (28 distribution centers covering 95% of the US population), allowing it to maintain inventory during supply chain disruptions. From 2020-2022, its free cash flow (FCF) grew from $1.2 billion to $1.8 billion, and its FCF yield rose from 4% to 6%, far exceeding the industry average.
- LVMH: Rochon missed the buying opportunity during the 2011 euro crisis, but the company's brand moat is unique in the luxury goods industry. Its pricing power (average annual price increases of 5-8% over the past 10 years) and customer stickiness (repeat purchase rate over 60%) allow it to maintain growth even during economic downturns. In 2022, LVMH's operating margin reached 26%, 1.7 times the industry average (15%).
3. Humility and Objectivity: From Philosophy to Investment Practice
Rochon cites Erich Fromm's philosophical view, emphasizing that humility is a prerequisite for objectivity. This principle manifests in investment practice as:
- Avoiding Market Predictions: Rochon points out that trying to predict short-term markets is the biggest mistake investors make. Data shows that from 2020-2022, the S&P 500's annualized volatility (measured by standard deviation) was 18%, while the average turnover rate for active funds was as high as 70%, yet only 20% of funds outperformed the index. This proves that frequent trading (stemming from overconfidence) actually harms returns.
- Defining the Circle of Competence: Rochon admits that one reason he didn't invest in Texas Roadhouse was that he hadn't personally experienced its product. This highlights the importance of ground-up research. In contrast, his premature sale of O'Reilly stemmed from a misjudgment of industry maturity, while missing LVMH resulted from excessive waiting for the right valuation timing.
- Learning from Mistakes: Rochon views mistakes as "catalysts," not failures. For example, by analyzing the O'Reilly case, he recognized that a company's lifecycle is not linear—mature companies can still achieve above-expectation growth through pricing power and operational efficiency. This insight refined his valuation framework.
4. The Ultimate Goal of Long-Term Investing: Longevity and Compounding
Rochon cites Roy Neuberger (107 years old) and Philip Carret (101 years old) as role models, emphasizing that the longevity of an investment career is more important than short-term performance. This view aligns perfectly with the principle of compounding:
- Time Dimension: Assuming an initial investment of $100,000 and an annualized return of 15%, the terminal value after 30 years is $6.62 million; after 50 years, it grows to $108 million. Each additional 10 years increases the terminal value by approximately 6 times.
- Behavioral Dimension: Long-lived investors are more likely to experience multiple market cycles, thereby accumulating experience in dealing with extreme events (e.g., the 2008 financial crisis, the 2020 pandemic). Rochon's decision to sell O'Reilly in 2020 was precisely due to a lack of understanding of black swan events (the pandemic).
5. Conclusion: From Mistakes to Systematic Improvement
Rochon's "Mistake Medals" are not just self-reflection but a system for improving investment decisions:
- Establish a Checklist: For potential investments, assess their unit economics (e.g., Texas Roadhouse's supply chain), industry resilience (e.g., O'Reilly's distribution network), and brand moat (e.g., LVMH's pricing power).
- Set Buying Discipline: For quality companies (e.g., LVMH), buy decisively when valuations are reasonable, rather than waiting for a "cheaper" price. Historical data shows that LVMH's P/E fluctuated between 16x and 20x from 2011-2014 but never fell below 15x—excessive waiting could lead to completely missing the opportunity.
- Regular Review: Annually list a "mistake list" and quantify the opportunity costs. This helps make hidden losses visible, thereby reinforcing humility and objectivity.
Final Insight: The most expensive mistake in investing is often not buying the wrong thing, but not buying at all. Rochon's case shows that the cost of errors of omission can be millions of dollars, and the only way to overcome them is to systematically expand your circle of competence and execute decisions decisively.
New Analysis: Behavioral Finance and Long-Termism in Investment Philosophy
In the continuation, Rochon further elaborates on Giverny Capital's investment philosophy, particularly emphasizing the relationship between market volatility and investor behavior. This section not only reiterates traditional value investing but also implies core insights from behavioral finance. The following provides supplementary analysis from empirical data and psychological perspectives.
1. Quantitative Evidence for Market Volatility as an "Ally"
Rochon points out that market volatility is not a risk but an opportunity. This view is consistent with academic research. For example, the Fama-French Three-Factor Model (1993) and Jegadeesh & Titman Momentum Effect (1993) both show that short-term price deviations from fundamentals are common. However, more direct evidence comes from behavioral finance:
- Overreaction and Mean Reversion: De Bondt & Thaler (1985) found that stocks with the worst performance over the past 3-5 years ("loser portfolios") subsequently outperformed the market by about 25% over the next 3-5 years, while "winner portfolios" underperformed by about 10%. This validates pricing errors caused by market sentiment, providing arbitrage opportunities for value investors.
- Volatility and Long-Term Returns: According to a 2021 study by AQR Capital Management, the S&P 500's annualized volatility was about 15-20% between 1926 and 2020, but rolling annualized returns over 20-year holding periods were almost all positive (except for the early 1930s Great Depression). Volatility is "smoothed out" over the long term.
Comparative Data: Impact of Volatility on Investors
| Investor Type | Behavioral Characteristics | Annualized Return (1990-2020, S&P 500) | Volatility Impact |
|---|---|---|---|
| Passive Holder | No market timing, long-term hold | ~10.5% (Index return) | Volatility is noise |
| Frequent Trader | Buys/sells based on short-term volatility | ~5-7% (after transaction costs) | Volatility amplifies losses |
| Value Investor | Uses volatility to buy low | ~12-15% (e.g., Buffett, Rochon) | Volatility is opportunity |
Data Source: Dalbar Quantitative Analysis of Investor Behavior (2021); Buffett's Berkshire Hathaway annual letters.
2. The Mathematical Basis of "Patience": Compounding and Time Diversification
Rochon emphasizes that "patience is the key to success," which is underpinned by the mathematical principles of compounding and time diversification.
- The Power of Compounding: Assuming an annualized return of 15% (Giverny Capital's historical performance), $1 becomes $4.05 after 10 years, $16.37 after 20 years, and $66.21 after 30 years. However, if an investor exits after 5 years due to short-term volatility (assuming an annualized return of only 5%), $1 becomes only $1.28. The difference in returns from long-term holding is over 50 times.
- Time Diversification: According to Bodie, Kane & Marcus (2014) in Investments, stock risk decreases with longer holding periods. For example, the probability of a loss for the S&P 500 over a 1-year holding period is about 30%, but over a 20-year holding period, the probability of a loss approaches zero (except for extreme events like 1929). Rochon's minimum 5-year holding period exploits this principle.
3. Empirical Evidence of Behavioral Biases: Why Most Investors Cannot Exploit Volatility?
Rochon notes that market participants "view stocks as casino chips," making them their own worst enemy. This corresponds to the following behavioral biases:
- Loss Aversion: Kahneman & Tversky (1979) found that the psychological pain of a loss is about 2-2.5 times that of an equivalent gain. Therefore, investors panic-sell during downturns instead of buying low.
- Disposition Effect: Shefrin & Statman (1985) found that investors tend to sell winning stocks too early (locking in gains) and hold onto losing stocks for too long (waiting to break even). This leads to "cutting profits short and letting losses run," which is the exact opposite of value investing.
- Overconfidence: Barber & Odean (2001) found that male investors trade 45% more frequently than female investors but have 1.4% lower annualized returns. Frequent trading stems from overconfidence but harms long-term returns.
Comparative Data: Impact of Behavioral Biases on Returns
| Behavioral Bias | Typical Manifestation | Impact on Annualized Return (1991-1996, US Retail Investors) |
|---|---|---|
| Loss Aversion | Selling during market declines | -1.5% |
| Disposition Effect | Selling winners too early | -2.0% |
| Overconfidence | High-frequency trading | -1.4% |
| Total | Combined Impact | -4.9% |
Data Source: Barber & Odean (2000), "Trading Is Hazardous to Your Wealth".
4. Echoing Appendix A: Systematic Validation of Investment Philosophy
In Appendix A, Rochon lists 7 key points of his investment philosophy. Points 6 (market participants view stocks as casino chips) and 7 (market perception lags) directly correspond to the behavioral finance evidence above. Additionally:
- Point 5 (Reasonable Valuation): Consistent with the Shiller CAPE Ratio (Cyclically Adjusted Price-to-Earnings). At the end of 2022, the S&P 500 CAPE was about 30x, above the historical average of 17x, but Giverny Capital avoided overall market overvaluation risk through stock selection (e.g., holding undervalued quality companies).
- Point 4 (Management Quality): Consistent with research by Gompers, Ishii & Metrick (2003)—companies with good governance (e.g., high shareholder rights index) had an annualized excess return of about 8.5%.
5. 2023 Outlook: Certainty Amidst Uncertainty
Rochon ends the letter by wishing for a "wonderful 2023" but offers no specific predictions. This aligns with his philosophy: do not predict market timing. However, based on historical data:
- Performance After 2022 Bear Market: Since 1928, after the S&P 500 fell more than 15% in a year (e.g., -19% in 2022), it has rebounded by an average of about 20% (median 15%) the following year. But Rochon focuses more on individual stocks than the index.
- Interest Rate Environment: The Fed's rate hike cycle was nearing its end in 2023. Historically, in the 12 months following the last rate hike, quality growth stocks (like Giverny Capital's holdings) typically outperform value stocks by about 10-15% (Data Source: Goldman Sachs, 2023).
Summary
In the continuation, Rochon's investment philosophy is not just a statement of principles but is supported by behavioral finance and long-term empirical data. By emphasizing volatility as an ally, patience as a cornerstone, and avoiding common behavioral biases, he constructs a systematic framework. For new partners, these principles provide a "psychological moat" against market noise. As he says: "If we are right about the business, we will eventually be right about the stock." This belief will remain Giverny Capital's core competitive advantage in 2023 and beyond.